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Fluorescence photo-bleaching of urine and its applicability in oral cancer diagnosis

机译:尿液的荧光光漂白及其在口腔癌诊断中的应用

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Photo-stability of urine is of crucial importance for the applicability of fluorescence spectroscopy of urine samples for diagnosis of cancer. We report the results of a detailed study on fluorescence photo-bleaching of human urine samples. We also present the results of a preliminary investigation on evaluation of the applicability of photo-bleaching characteristics of urine for discriminating patients with oral cancer from healthy volunteers. The time-lapse fluorescence induced by continuous shining of 405 nm radiation from a diode laser was recorded from the urine samples obtained from 18 patients with oral cancer as well as from 22 healthy volunteers with history of no known major illness in the past two months. The integrated fluorescence intensity (Sigma I), calculated for each spectrum, was found to decrease with time till a point after which no further decrease was observed. Further, while significant differences were observed in the spectra of cancerous patients and healthy volunteers, these differences were found to be varying with time till the intensities of the observed fluorescence spectra corresponding to the two categories of urine samples became stable. The curve, generated by plotting Sigma I vs. time, was found to be best fitted (R-2 > 0.95) with a double-exponential decay function. The photo-bleaching constants, obtained from curve-fitting, were found to have statistically significant differences corresponding to the urine samples of cancerous patients and healthy volunteers. A classification algorithm developed based on nearest-mean classifier (NMC) and applied on the photo-bleaching constants in leave-one-subject-out cross-validation mode was found to provide a sensitivity and specificity of up to similar to 86% in discriminating the two categories of urine samples.
机译:尿液的光稳定性对于尿液样品的荧光光谱法对癌症的诊断至关重要。我们报告了对人类尿液样品进行荧光光漂白的详细研究结果。我们还提出了初步评估尿液光漂白特性对区分健康志愿者中口腔癌患者的适用性的评估结果。在过去两个月中,从18位口腔癌患者以及22位无重大疾病病史的健康志愿者获得的尿液样本中记录了由二极管激光器连续发出405 nm辐射引起的延时荧光。发现对于每个光谱计算的积分荧光强度(Sigma I)随着时间降低,直到观察到没有进一步降低为止。此外,尽管在癌症患者和健康志愿者的光谱中观察到显着差异,但是发现这些差异随时间变化,直到观察到的对应于两类尿液样本的荧光光谱的强度变得稳定为止。发现通过绘制Sigma I对时间的关系绘制的曲线最适合(R-2> 0.95),具有双指数衰减函数。发现从曲线拟合获得的光漂白常数具有统计学上的显着差异,与癌症患者和健康志愿者的尿液样本相对应。发现一种基于最近均值分类器(NMC)开发的分类算法,并应用于留一法消除交叉验证模式下的光漂白常数,该算法可提供高达86%的区分灵敏度和特异性这两类尿液样本。

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